Isa Murrell
Impact in
- Epidemiology top 5%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
- Parasitology top 5%
- Toxoplasma gondii Research Studies
Papers in
-
- Cytomegalovirus and herpesvirus research 7
- Herpesvirus Infections and Treatments 5
-
- Immune Cell Function and Interaction 3
- Co-authors
- Richard J. Stanton (7 shared papers)Peter Tomašec (5 shared papers)Gavin W. G. Wilkinson (6 shared papers)Ceri A. Fielding (4 shared papers)Michael P. Weekes (4 shared papers)Rebecca Aicheler (3 shared papers)Paul J. Lehner (3 shared papers)Eddie C. Y. Wang (3 shared papers)
- Journals
- Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Clinical Investigation (1 paper)Medical Microbiology and Immunology (1 paper)Cell (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Sudan
In The Last Decade
Isa Murrell
8 papers receiving 666 citations
Peers
Comparison fields: 5 of 61
- Epidemiology 495
- Parasitology 100
- Virology 49
- Immunology 153
- Infectious Diseases 78
Countries citing papers authored by Isa Murrell
This map shows the geographic impact of Isa Murrell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Isa Murrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isa Murrell more than expected).
Fields of papers citing papers by Isa Murrell
This network shows the impact of papers produced by Isa Murrell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Isa Murrell. The network helps show where Isa Murrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Isa Murrell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 333 | |
| 2 | 2015 | 115 | |
| 3 | 2017 | 68 | |
| 4 | 2013 | 66 | |
| 5 | 2016 | 52 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 10 | |
| 8 | 2025 | 2 |
About Isa Murrell
Isa Murrell is a scholar working on Epidemiology, Immunology, Biomedical Engineering, Infectious Diseases and Virology, having authored 8 papers that have together received 674 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (7 papers), Herpesvirus Infections and Treatments (5 papers), Immune Cell Function and Interaction (3 papers), Biosensors and Analytical Detection (2 papers), COVID-19 Clinical Research Studies (1 paper), Toxoplasma gondii Research Studies (1 paper), HIV Research and Treatment (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Epidemiology (495 citations), Parasitology (100 citations), Virology (49 citations), Immunology (153 citations) and Infectious Diseases (78 citations). Isa Murrell has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Richard J. Stanton, Peter Tomašec, Gavin W. G. Wilkinson, Ceri A. Fielding, Michael P. Weekes, Rebecca Aicheler, Paul J. Lehner, Eddie C. Y. Wang, Andrew J. Davison and Edward L. Huttlin. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, Medical Microbiology and Immunology and Cell.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.